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Finalist project of the 1º Edition in #Aigües de Barcelona Data Challenge

Aigua De Barcelona Data Challenge

About the project

The project aims to analyze the data and predict the water consumption measured by the water meter with the factors of industry, domestic and commercial according to the geographical region during the course of 2019 - 2021:

our demo link:

https://junjielyu13.github.io/AiguaDeBarcelona_DataChallenge/

AI model used:

NeuralProphet: A Neural Network based Time-Series model, inspired by and , built on PyTorch.

Contributors

@Project leader: Pai Peng, @ Web designer: JunjieLi, @ Data analyst: YinghongChen@ Assistance: Feiyang Wang

License

@Apache-2.0 (the "License")

Cite

@misc{triebe2021neuralprophet, title={NeuralProphet: Explainable Forecasting at Scale}, author={Oskar Triebe and Hansika Hewamalage and Polina Pilyugina and Nikolay Laptev and Christoph Bergmeir and Ram Rajagopal}, year={2021}, eprint={2111.15397}, archivePrefix={arXiv}, primaryClass={cs.LG} }